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Virtual Memory Use main memory as a “cache” for secondary (disk) storage Managed jointly by CPU hardware and the operating system (OS) Programs share main.

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Presentation on theme: "Virtual Memory Use main memory as a “cache” for secondary (disk) storage Managed jointly by CPU hardware and the operating system (OS) Programs share main."— Presentation transcript:

1 Virtual Memory Use main memory as a “cache” for secondary (disk) storage Managed jointly by CPU hardware and the operating system (OS) Programs share main memory Each gets a private virtual address space holding its frequently used code and data Protected from other programs CPU and OS translate virtual addresses to physical addresses VM “block” is called a page VM translation “miss” is called a page fault

2 Paging to/from Disk Idea: hold only those data in physical memory that are actually accessed by a process Maintain map for each process { virtual addresses }  { physical addresses }  { disk addresses } OS manages mapping, decides which virtual addresses map to physical (if allocated) and which to disk Disk addresses include: Executable .text, initialized data Swap space (typically lazily allocated) Memory-mapped (mmap’d) files (see example) Demand paging: bring data in from disk lazily, on first access Unbeknownst to application

3 Process Virtual Memory Image
Backed by OS maintains structure of each process’s address space – which addresses are valid, what do they refer to, even those that aren’t in main memory currently kernel virtual memory Not paged, or swap file %esp stack swap file Memory mapped region for shared libraries code: shared .so file data: swap file (*) run-time heap (via malloc) swap file swap file uninitialized data (.bss) initialized data (.data) swap file (*) program text (.text) executable

4 Address Translation Fixed-size pages (e.g., 4KB) Swap file

5 Page Fault Penalty On page fault, the page must be fetched from disk
Takes millions of clock cycles Handled by OS code Try to minimize page fault rate Fully associative placement Smart replacement algorithms How bad is that? Assume a 3 GHz clock rate. Then 1 million clock cycles would take 1/3000 seconds or 1/3 ms. Subjectively, a single page fault would not be noticed… but page faults can add up. We must try to minimize the number of page faults.

6 Page Tables Stores placement information If page is present in memory
Array of page table entries, indexed by virtual page number Page table register in CPU points to page table in physical memory If page is present in memory PTE stores the physical page number Plus other status bits (referenced, dirty, …) If page is not present PTE can refer to location in swap space on disk

7 Translation Using a Page Table
1 2 3 5 4

8 Mapping Pages to Storage

9 Replacement and Writes
To reduce page fault rate, prefer least-recently used (LRU) replacement (or approximation) Reference bit (aka use bit) in PTE set to 1 on access to page Periodically cleared to 0 by OS A page with reference bit = 0 has not been used recently Disk writes take millions of cycles Block at once, not individual locations Write through is impractical Use write-back Dirty bit in PTE set when page is written

10 Fast Translation Using a TLB
Address translation would appear to require extra memory references One to access the PTE Then the actual memory access Can't afford to keep them all at the processor level. But access to page tables has good locality So use a fast cache of PTEs within the CPU Called a Translation Look-aside Buffer (TLB) Typical: 16–512 PTEs, 0.5–1 cycle for hit, 10–100 cycles for miss, 0.01%–1% miss rate Misses could be handled by hardware or software

11 Fast Translation Using a TLB

12 TLB Misses If page is in memory If page is not in memory (page fault)
Load the PTE from memory and retry Could be handled in hardware Can get complex for more complicated page table structures Or in software Raise a special exception, with optimized handler If page is not in memory (page fault) OS handles fetching the page and updating the page table Then restart the faulting instruction

13 TLB Miss Handler TLB miss indicates whether
Page present, but PTE not in TLB Page not present Must recognize TLB miss before destination register overwritten Raise exception Handler copies PTE from memory to TLB Then restarts instruction If page not present, page fault will occur

14 Page Fault Handler Use faulting virtual address to find PTE
Locate page on disk Choose page to replace If dirty, write to disk first Read page into memory and update page table Make process runnable again Restart from faulting instruction

15 TLB and Cache Interaction
If cache tag uses physical address Need to translate before cache lookup Alternative: use virtual address tag Complications due to aliasing Different virtual addresses for shared physical address

16 Memory Protection Different tasks can share parts of their virtual address spaces But need to protect against errant access Requires OS assistance Hardware support for OS protection Privileged supervisor mode (aka kernel mode) Privileged instructions Page tables and other state information only accessible in supervisor mode System call exception (e.g., syscall in MIPS)

17 Multilevel On-Chip Caches
Intel Nehalem 4-core processor Per core: 32KB L1 I-cache, 32KB L1 D-cache, 512KB L2 cache

18 2-Level TLB Organization
Intel Nehalem AMD Opteron X4 Virtual addr 48 bits Physical addr 44 bits Page size 4KB, 2/4MB L1 TLB (per core) L1 I-TLB: 128 entries for small pages, 7 per thread (2×) for large pages L1 D-TLB: 64 entries for small pages, 32 for large pages Both 4-way, LRU replacement L1 I-TLB: 48 entries L1 D-TLB: 48 entries Both fully associative, LRU replacement L2 TLB (per core) Single L2 TLB: 512 entries 4-way, LRU replacement L2 I-TLB: 512 entries L2 D-TLB: 512 entries Both 4-way, round-robin LRU TLB misses Handled in hardware

19 Nehalem Overview


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